Representation by levels: an alternative to fuzzy sets for fuzzy data mining
DOI10.1016/j.fss.2019.11.014zbMath1464.68397OpenAlexW2996156715WikidataQ126584596 ScholiaQ126584596MaRDI QIDQ2035316
M. Dolores Ruiz, Carlos Molina, José María Serrano
Publication date: 24 June 2021
Published in: Fuzzy Sets and Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.fss.2019.11.014
representation by levelsfuzzy association rulesfuzzy data miningassessment measuresmining bag databases
Database theory (68P15) Learning and adaptive systems in artificial intelligence (68T05) Reasoning under uncertainty in the context of artificial intelligence (68T37)
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Cites Work
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- On a non-nested level-based representation of fuzziness
- A formal model for mining fuzzy rules using the RL representation theory
- RL-bags: a conceptual, level-based approach to fuzzy bags
- ART: A hybrid classification model
- A definition for fuzzy approximate dependencies
- Fuzzy quantifiers. A computational theory
- BBTOPSIS: A bag based technique for order preference by similarity to ideal solution
- Information clustering based on fuzzy multisets.
- A probabilistic definition of a nonconvex fuzzy cardinality
- Algorithms for mining association rules in bag databases
- Fuzzy quantification: a state of the art
- Gradual elements in a fuzzy set
- Fuzzy Clustering based on Coverings
- NEW APPROACHES FOR DISCOVERING EXCEPTION AND ANOMALOUS RULES
- AN ALTERNATIVE APPROACH TO DISCOVER GRADUAL DEPENDENCIES
- PATTERN EXTRACTION FROM BAG DATABASES
- STUDYING INTEREST MEASURES FOR ASSOCIATION RULES THROUGH A LOGICAL MODEL
- An extended characterization of fuzzy bags
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